9,387 research outputs found

    A robust fuzzy possibilistic AHP approach for partner selection in international strategic alliance

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    The international strategic alliance is an inevitable solution for making competitive advantage and reducing the risk in today’s business environment. Partner selection is an important part in success of partnerships, and meanwhile it is a complicated decision because of various dimensions of the problem and inherent conflicts of stockholders. The purpose of this paper is to provide a practical approach to the problem of partner selection in international strategic alliances, which fulfills the gap between theories of inter-organizational relationships and quantitative models. Thus, a novel Robust Fuzzy Possibilistic AHP approach is proposed for combining the benefits of two complementary theories of inter-organizational relationships named, (1) Resource-based view, and (2) Transaction-cost theory and considering Fit theory as the perquisite of alliance success. The Robust Fuzzy Possibilistic AHP approach is a noveldevelopment of Interval-AHP technique employing robust formulation; aimed at handling the ambiguity of the problem and let the use of intervals as pairwise judgments. The proposed approach was compared with existing approaches, and the results show that it provides the best quality solutions in terms of minimum error degree. Moreover, the framework implemented in a case study and its applicability were discussed

    Decisions about entry modes for telecom companies into digital music business: An empirical case study

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    The digital music market offers an opportunity for telecom companies to furnish value-added services. However, little effort has been made to study empirically how to make a decision about entry modes for telecom companies into digital music business. This study therefore investigates various strategies that telecom companies may implement to enter the digital music industry. The results of a series of expert surveys reveal that the preference ranking of entry modes is acquisition, joint venture, and contractual agreement, respectively. Moreover, the leading key factors in selecting entry modes are complementary capabilities, hostility of environment, relational risk between firms as partners, commitment of resources, and availability of expertise. Furthermore, an importance-performance analysis was conducted to understand the different aspects that are of different performances and importance in each entry mode. The implications of the findings are also discussed. --Telecom companies,Digital music business,Entry modes,Value added

    An integrated core competence evaluation framework for portfolio management in the oil industry

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    Drawing upon resource-based theory, this paper presents a core competence evaluation framework for managing the competence portfolio of an oil company. It introduces a network typology to illustrate how to form different types of strategic alliance relations with partnering firms to manage and grow the competence portfolio. A framework is tested using a case study approach involving face-to-face structured interviews. We identified purchasing, refining and sales and marketing as strong candidates to be the core competencies. However, despite the company's core business of refining oil, the core competencies were identified to be their research and development and performance management (PM) capabilities. We further provide a procedure to determine different kinds of physical, intellectual and cultural resources making a dominant impact on company's competence portfolio. In addition, we provide a comprehensive set of guidelines on how to develop core competence further by forging a partnership alliance choosing an appropriate network topology

    Future Agribusiness Challenges: Strategic Uncertainty, Innovation and Structural Change

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    The IFAMR is published by the International Food and Agribusiness Management Association.(IFAMA) www.ifama.orgStrategic uncertainty, innovation, structural change, Agribusiness, Research and Development/Tech Change/Emerging Technologies, Risk and Uncertainty, ISSN #: 1559-2448,

    Investigating the impact of networking capability on firm innovation performance:using the resource-action-performance framework

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    The author's final peer reviewed version can be found by following the URI link. The Publisher's final version can be found by following the DOI link.Purpose The experience of successful firms has proven that one of the most important ways to promote co-learning and create successful networked innovations is the proper application of inter-organizational knowledge mechanisms. This study aims to use a resource-action-performance framework to open the black box on the relationship between networking capability and innovation performance. The research population embraces companies in the Iranian automotive industry. Design/methodology/approach Due to the latent nature of the variables studied, the required data are collected through a web-based cross-sectional survey. First, the content validity of the measurement tool is evaluated by experts. Then, a pre-test is conducted to assess the reliability of the measurement tool. All data are gathered by the Iranian Vehicle Manufacturers Association (IVMA) and Iranian Auto Parts Manufacturers Association (IAPMA) samples. The power analysis method and G*Power software are used to determine the sample size. Moreover, SmartPLS 3 and IBM SPSS 25 software are used for data analysis of the conceptual model and relating hypotheses. Findings The results of this study indicated that the relationships between networking capability, inter-organizational knowledge mechanisms and inter-organizational learning result in a self-reinforcing loop, with a marked impact on firm innovation performance. Originality/value Since there is little understanding of the interdependencies of networking capability, inter-organizational knowledge mechanisms, co-learning and their effect on firm innovation performance, most previous research studies have focused on only one or two of the above-mentioned variables. Thus, their cumulative effect has not examined yet. Looking at inter-organizational relationships from a network perspective and knowledge-based view (KBV), and to consider the simultaneous effect of knowledge mechanisms and learning as intermediary actions alongside, to consider the performance effect of the capability-building process, are the main advantages of this research

    A framework to select commercial bank partner using fuzzy BSC-DEA method

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    One of the primary concerns of many corporate organizations is to assess the weakness and strength of their future partners in an attempt to reduce all potential risks involved with them. In this paper, we present a BSC-DEA based model to indentify strengths, weaknesses, opportunities and threats of a firm. The proposed model of this paper assumes there are various uncertainties associated with all input/output parameters and uses fuzzy numbers to handle the uncertainties. We also consider a real-world case study of banking industry where four major banks are possible candidates of a partnership and implement the proposed model of this paper for this case study. The results of this study reveal some of the issues such as weakness of electronic banking, services and resource allocation as part of their infrastructure problems

    Mitigating NPD And R&D Risks Via A Portfolio Effect In Country Choice

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    New Product Development as well as Research and Development projects tend to be inherently risky investments.  Most MNC’s today have great latitude in choosing site and country locations to build or contract Research or Development projects.  MNC R&D risks, corporate wide, can be moderated via a diversification of NPD/R&D projects across multiple cultures and countries.  In fact there is some evidence that R&D global diversification can generate synergies.  (Fast track projects that work around the clock via work being done in three locations each 8 hours off from the other.) Foreign R&D facilities can help serve as outposts to facilitate the entrance into strategic foreign markets. This paper attempts to develop decision methodologies for allocating NPD/R&D globally with the goal of both reducing risks and increasing global competitiveness
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